| Literature DB >> 33098059 |
Alexandra Simbrich1, Jasmine Thibaut2, Laura Khil2,3, Stanislav Maximov2, Heinz Wiendl4, Klaus Berger2.
Abstract
The long-term and potential rare side effects of new immunomodulating drugs for the treatment of multiple sclerosis (MS) are often not well known. Spontaneous case report systems of adverse drug effects are a valuable source in pharmacovigilance, but have several limitations. Primary data collections within registries allow a comprehensive analysis of potential side effects, but face several challenges. This article will outline the chances and challenges of registry-based adverse event reporting, using the example of the German immunotherapeutic registry REGIMS. REGIMS is an observational, clinical multicenter registry that aims to assess the incidence, type, and consequences of side effects of MS immunotherapies. Patients treated with an approved MS medication are recruited by their physicians during routine visits in hospitals, outpatient clinics, and MS-specialized practices. REGIMS incorporates an electronic physician-based documentation in each center and a paper-based patient documentation, both at baseline and regular follow-up visits. By the end of 2019, 43 REGIMS centers were actively recruiting patients and performing follow-up documentations. The majority of the first 1000 REGIMS patients were female (69.3%), had relapse-remitting MS (89.8%), and were treated with a second-line therapy. During the implementation of REGIMS, several logistic and procedural challenges had to be overcome, which are outlined in this paper. Pharmacovigilance registries such as REGIMS provide high-quality primary data from a specific patient population in a real-world care setting and enable pharmacovigilance research that cannot be carried out using secondary data. Despite the logistic and procedural challenges in establishing a multicenter pharmacovigilance registry in Germany, the advantages outweigh the drawbacks.Entities:
Mesh:
Year: 2020 PMID: 33098059 PMCID: PMC7813707 DOI: 10.1007/s40264-020-01007-1
Source DB: PubMed Journal: Drug Saf ISSN: 0114-5916 Impact factor: 5.606
Electronic and patient-based documentation in REGIMS
| Baseline | Follow-ups | |
|---|---|---|
| Physician documentation (electronic documentation in the centers) | Demographic characteristics EDSS MS type + prior course Current and previous MS-medication Comorbidities Pregnancy | EDSS Changes in MS type Changes + reasons for change in MS medication AE/SAE Relapses Pregnancy |
| Patient documentation (paper-based questionnaires at home) | Family history of MS SF-36 satisfaction with efficacy and safety of MS medication Medication of last 7 days Healthcare utilization PHQ-9, GAD-7 | SF-36 EQ-5D Satisfaction with efficacy and safety of MS medication Medication of last 7 days AE/SAE Relapses Healthcare utilization PHQ-9, GAD-7, RS-11 |
AE adverse event, EDSS expanded disability status scale, GAD-7 Generalized Anxiety Disorder 7 questionnaire, MS multiple sclerosis, PHQ-9 Patient Health Questionnaire, RS-11 11-item Resilience Scale, SAE serious adverse event, SF-36 36-item Short Form Health Survey
Descriptive characteristics of the first 1000 REGIMS participants at baseline
| Baseline characteristics | |
|---|---|
| Age in years [mean (SD)] | 38.4 (11.2) |
| Age in years at MS diagnosis [mean (SD)] | 31.0 (10.7) |
| Disease duration in years [mean (SD)] | 7.3 (6.7) |
| Follow-up time in months [median (SD)] | 5.8 (2.2) |
| Women (%) | 69.3 |
| Never-smokera (%) | 43.1 |
| Ex-smokera (%) | 25.4 |
| Current smokera (%) | 31.5 |
| Clinical course | |
| CIS (%) | 1.1 |
| RRMS (%) | 89.8 |
| PPMS (%) | 2.3 |
| SPMS (%) | 2.0 |
| Not determined/unknown (%) | 4.7 |
| EDSS score, median (IQR) | 2.5 (2.5) |
| Number of relapses during last 24 months, median (IQR) | 1.0 (2.0) |
| Number of reported onset symptoms, median (IQR) | 2.0 (2.0) |
| MS onset symptomsa | |
| Dysesthesias (%) | 53.3 |
| Motor disturbances (%) | 53.0 |
| Impaired vision (%) | 44.4 |
| Exhaustibility (%) | 25.5 |
| Concentration or memory problems (%) | 11.2 |
| Bladder dysfunctions (%) | 10.3 |
| Depressed mood (%) | 7.7 |
| Tremor (%) | 6.5 |
| Hearing impairment/speech problems/dysphagia (%) | 5.5 |
| Sexual disturbances (%) | 3.4 |
| Bowel voiding dysfunction (%) | 3.4 |
| Euphoric mood (%) | 1.0 |
CIS clinically isolated syndrome, EDSS expanded disability status scale, IQR interquartile range, MS multiple sclerosis, PPMS primary progressive multiple sclerosis, RRMS relapse-remitting multiple sclerosis, SD standard deviation, SPMS secondary progressive multiple sclerosis
aPatient-reported information
Therapies and comorbidities of the first 1000 REGIMS participants at baseline
| Number of prior MS therapies, median (IQR) | 1.0 (1.0) |
| Duration of current MS therapy in years, median (IQR) | 1.0 (2.0) |
| MS therapy at baseline | |
| Natalizumab (%) | 33.1 |
| Fingolimod (%) | 21.7 |
| Alemtuzumab (%) | 15.9 |
| Dimethyl fumarate (%) | 10.1 |
| Ocrelizumab (%) | 5.3 |
| Interferons (%) | 4.4 |
| Teriflunomide (%) | 3.5 |
| Glatiramer acetate (%) | 3.4 |
| Other (%) | 2.6 |
| Comorbidities | |
| Number of reported comorbidities, median (IQR) | 1 (3) |
| Allergies (%) | 26.7 |
| Depression (%) | 15.7 |
| Hypertension (%) | 14.6 |
| Migraine and/or tension type headache (%) | 13.0 |
| Hypo- or hyperthyroidism (%) | 11.7 |
| Herpes infection (%) | 10.2 |
| Hair loss (%) | 5.9 |
| Recurring urinary tract infection (%) | 4.7 |
| Arthralgia (%) | 3.9 |
| Cardiac arrhythmias (%) | 2.6 |
| Other autoimmune diseases (%) | 2.2 |
| Diabetes mellitus (%) | 2.0 |
| Cancer (%) | 1.6 |
IQR interquartile range, MS multiple sclerosis
| The implementation of a multicenter pharmacovigilance registry such as REGIMS into routine clinical care faces multiple challenges that must be addressed and solved in the planning phase. Among them is the motivation of centers and participants, the IT architecture of data collection, and changes in data items over time. |
| Registry-based data assessment allows the safety monitoring of highly specialized drugs for which there is limited experience, especially with regard to their long-term use. |
| Information on patient-reported outcomes ideally complements the medical documentation and is gaining increasing relevance. |